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Description
Oxford city centre was traversed by an autonomous Nissan LEAF vehicle between May 2014 and December 2015. The dataset contains nearly 20 million images from six cameras, along with LIDAR, GPS, and INS data, totaling over 1,000 km of recorded traffic data. It was collected by the OPR-Project and hosted on Hugging Face.
Use Cases
Train place recognition models based on the repeated traversal of a route over time.
Develop sensor fusion algorithms based on the co-collected camera, LIDAR, GPS, and INS data.
Benchmark visual odometry and SLAM systems based on the long-term, multi-sensor urban driving data.
Study long-term environmental changes in an urban setting based on the bi-weekly data collection over 1.5 years.
Strengths
Large-scale collection with nearly 20 million images.
Multi-sensor data includes six cameras, LIDAR, GPS, and INS.
Long-term temporal coverage from May 2014 to December 2015.
Over 1,000 km of driving data from repeated traversals of a defined route.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and file formats are unknown, which may limit suitability assessment.
Data may reflect geographic and temporal bias inherent to collection in Oxford, UK, over a specific 1.5-year period.
Provenance
Source
OPR-Project
Collection Method
Collected by driving an autonomous Nissan LEAF vehicle on a route through Oxford city centre approximately twice a week.
Time Range
May 2014 to December 2015
Freshness
Last updated 2025-05-06 16:51:32; freshness should be verified.
Geography
Oxford city centre, UK
License is unknown; terms of use must be verified before application.